Turner Construction Data Analyst Interview Questions and Answers

Q1. What was your experience like during the one-on-one interview with HR?
Ans. 
The one-on-one interview with HR was professional and informative.
• The HR representative was friendly and welcoming

• The questions asked were relevant to the position and my experience

• I was given a clear overview of the company culture and expectations
Answered by AI
Add your answer
Q2. What types of questions will the manager ask?
Add your answer

Q1. Can you explain your previous work experience?
Ans. 
I have 5 years of experience as a financial analyst at a Fortune 500 company.
• Analyzed financial data to provide insights and recommendations

• Created financial models to forecast future performance

• Prepared reports for senior management

• Collaborated with cross-functional teams on budgeting and forecasting

• Identified cost-saving opportunities and efficiency improvements
Answered by AI
Add your answer
Q2. Salary negotiable
Add your answer

Q1. Stress strain curves
Add your answer
Q2. Asme codes for oil and gas
Ans. 
ASME codes are widely used in the oil and gas industry to ensure safety and quality standards are met.
• ASME B31.3 is the code for process piping in oil and gas facilities

• ASME Section VIII is used for pressure vessels in oil and gas industry

• ASME B31.4 is for liquid pipelines in oil and gas industry
Answered by AI
Add your answer

Q1. What are your salary expectations?
Add your answer
Q2. What is your family background?
Add your answer
Q3. Where do you see yourself in 5 years?
Add your answer
Q4. Tell me about yourself.
Add your answer

Test the technical knowledge

Q1. Onsite round with the French manager
Add your answer
Q2. Just briefs about the job and ask the intention to work
Add your answer

Q1. What is decision tree
Ans. 
A decision tree is a flowchart-like structure in which each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.
• Decision trees are a popular machine learning algorithm used for classification and regression tasks.

• They are easy to interpret and visualize, making them useful for understanding the decision-making process.

• Each internal...read more
Answered by AI
Add your answer
Q2. What are model evaluation metrics?
Ans. 
Model evaluation metrics are used to assess the performance of machine learning models.
• Model evaluation metrics help in determining how well a model is performing in terms of accuracy, precision, recall, F1 score, etc.

• Common evaluation metrics include accuracy, precision, recall, F1 score, ROC-AUC, confusion matrix, and mean squared error.

• These metrics help in comparing different models and selecting the best one for a...read more
Answered by AI
Add your answer